{
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    "# GeoViews\n",
    "\n",
    "Mit [GeoViews](https://geoviews.org/) lassen sich geografische, meteorologische und ozeanografische Datensätze leicht erkunden und visualisieren. GeoViews basiert auf [HoloViews](https://holoviews.org/) und ergänzt deren Visualisierung multidimensionaler Daten um geografischen Plot-Typen, die auf [Cartopy](../../../matplotlib/cartopy/index.rst) basieren."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installation\n",
    "\n",
    "Wenn [Cartopy](../../../matplotlib/cartopy/install.rst) bereits installiert ist, kann GeoViews mit pipenv installiert werden:\n",
    "\n",
    "``` bash\n",
    "$ pipenv install geoviews\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Beispiele\n",
    "\n",
    "GeoViews arbeitet gut mit Iris- und xarray-Bibliotheken für mehrdimensionale Arrays zusammen, wie sie in netCDF-Dateien gespeichert sind. GeoViews akzeptiert jedoch auch Daten als NumPy-Arrays und Pandas-Datenrahmen. In jedem Fall können die Daten in ihrem ursprünglichen, nativen Format gespeichert und in ein HoloViews- oder GeoViews-Objekt verpackt werden, das interaktive Visualisierungen ermöglicht."
   ]
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    "### xarray-Beispiel\n",
    "\n",
    "Für das folgende Beispiel benötigen wir ebenfalls noch [xarray](http://xarray.pydata.org/en/stable/). Es kann mit Spack installiert werden mit:\n",
    "\n",
    "``` bash\n",
    "$ spack install py-xarray\n",
    "```"
   ]
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i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.holoviz.org/panel/1.1.1/dist/panel.min.js\", \"https://cdn.jsdelivr.net/npm/@holoviz/geoviews@1.10.0/dist/geoviews.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
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     "output_type": "display_data"
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       "       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>\n",
       "  \n",
       "\n",
       "\n",
       "</div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geoviews as gv\n",
    "import geoviews.feature as gf\n",
    "import xarray as xr\n",
    "\n",
    "from cartopy import crs\n",
    "\n",
    "\n",
    "gv.extension(\"bokeh\", \"matplotlib\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
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jBM5rkGWQlSMGuxuQQUZJHwSnFf4rHTkfBcuOtsWzXRsGWLL1gz75FwRkDU0d3aUXB3hJve7MYRcFGxwcEqmxEwc7omtHPCkTBnpt++IWJQ8EWZtS/u+JCwQdJHLIIYELBRFLzj002QsHW9T11Z+xBwSkYCHcDtUHBQN/k/mC/QcH/VHqsP1NBwcVosbYyCkHBC5EwHR1LQMFMqV8XOro+wavEOM9rvjzBP8BePz0rPMEMiBNm+i07waJHYr4H2TjBLNgcHXH1NcEGhBPTE9Q0wb6pahX3zjTBeHtCsvB7M8FqMBNv5roxwcs4ZYk/JC/BAPVrVrIWLcEmB2W22M4nwRnu4Yxg2iXB+tzqP1O7IcFOTe0FUbMgwUCcTGf0iiDBlv2RzvYsH8EhF/3BZOIXwZy8evDvfRLBgiUlAJ6uEsG4u1SPtHMOwXzGrtrKJRHBCQDYkoxBC8GACvEY5cMDwfPcDGbI4ffAuMsWI3Bv7cClYb7+Y0P/wPEQ3ZSlyNfAyZxd6vSIv8BLgmAdqmzWQJ7pGGxJV/pAjHnCaZjaBUG5Yffz3OUHQSBKHX/D5BZBF43HcYVWGkH1nIKCaQUaQUGD7XoykRxBPa+NpsTeIEHZsVQOlJIhQY1/Vxr65SFBMlKCOfqtIkGO+3hEP2siQRQvMZPZ2yFBfwf7UTlrIkF67XlztHcjQdhBlCy87iRBxJGQbCP8JEGvtb+S3Y0mQcO9hKL6fyhBvpcMusqSKUF/Jp+yykIqQQd2+2w+KCpBFwVDFdyPLEFsIXOxn/stQZjZRBZPJS5BfjXj3pCHL0FckZSwyj0wQeIsHb6HKzBBwmg6p0AHMEFPeNvdok4vQc286SglVS5BRa8VOHqjLkFHeo1v7+ovQeLf9Wdahi9BFWd7Nd55L0FxR1bjJDkwQZX5twhZAzFBzA8UsF8BMUGO1XhyhQMyQVotiZC8iTFBsHCewFfbMEGO+9K9ozUwQRuGgmRqNi5BCYQGoxk1LUHZ3pPSPhIrQR55b0eB2SpBPUc0QcYkLUHuHJTI998uQXdFLGtbMzBBOUTMrbvYMEHWXAJt8QoxQXthjFUxYzFBMFo3AcHiMUFNiP5nO0EyQSrdqu6QUzJBIc5HHx2bMUGub+xymEMxQdueWt1LfzBBr8svi2qVMEF2Ky/LZkcwQaZtGh1wOTBBW6xtu2APL0EQPF5b/pksQW1UxexxpCtB+Tw+O9RNK0GfoMG/mjopQVDK1zBHSSlBN9kV+zoPKkEgjP/egucqQXXAZhu4XitBsdaynpFtK0GNQEsjf7YrQVlTEkbUwCtBr/gwUo0sMUGINciqy8Q2QaKxqta4QDxBz2kZfENPPkEI7joV3/k9QVnNOyUCnD1Bf65ITfKQPUGhY6ED2D09QVFzBXrUbTxBf/aD4nuqPEFHWRltZJs8QeZtOHhmuTxB+QqGFJ/yPEGHY+KJgkc9QQXVW74ZyT1BNf2i/GfJPUEyKd/IWy0+QbXBD0r8aD5Bkx52OcddPkEXrgrgae4+QS4DeAy4sz9B1CRLqnf9P0Gt90bTee4/QTX0/K3AzEBBhDCAy/ykQkGtRXGzvbRCQc9IbTaV30JBGHRu1zHdQkGAKk7XMd1CQayTEEs+ZENB3H0Uc5rjRUE649r7K7BHQRLMd9+550dBwH/lY7FgSEG34sL4jvRIQdLZhXVuJklB6BC2w7gsSUGyfskdwbdJQfPJO3EoxElBGo7o/wLUSUHx756Fas9JQR3+GqI5KEpBf6y0EvZoSkG4VmjR/vJJQd4sGRONwklB9wpTaqRaSUGVdRnPCVZJQZfgE7rB0klB8FTyhqQPSkHFsqC5ukVKQeQnARggXEpBQxBo3iymSkEYBxH3HIdKQYr7SbDAgkpBwPsZpPVeSkGSKoRYGNdKQeFdQaaNP0tBN9y6jtRBS0GXwkGb6WxLQcAfCS9dW0tBgRHWB6ZkS0HyGEibV6JLQcZa3nh8uEtBzMIb1n2JS0Hf1uCjhb1LQXwhuKOazEtBAC7qgbPZS0EIyWNFS/xLQQWSURRuAExBKT7edVggTEF2nL3+vkhMQV+5KwDdYkxBn4zFqmEyTEHQUnPt7C9MQT9wIIimc0xBJzjxZI67TEFnNw5Ff9NMQdD1bGP2Mk1BIsgmtCVpTUEVARUYIqVNQXAb1mhv801BLYMFBWMbTkF6BKZDxjpOQY70PaCLVU5BSlqnou7RTUHw2AAK+mJNQaiGS8/0Y01B2TM2ZNfSTUGM1qhdoxVOQVEWbrRvgU5Bk5SyBwjmTkG0KIzTxApPQfV0h+QZZE9BGn9dpqLJTkEwI5kQOKBOQTzfzbI3zU5BWLsltdsmT0E4EfbOVKZPQTRwFjH8AVBBNPsgweEYUEGXaWw5pQhQQQiY6eCfkE9BYtMPJjLZTkFh1kMXu7hOQemnpgbsOk9BFLg7eGfuT0HDhpwBJxpQQdzG7u2QSVBBVMNngqhUUEFyX4rxf15QQbC/UrzzYFBBiKNcyqN1UEF3Z1VWYKxQQRnUjufkylBBxVP24MziUEFTQ41M3PtQQVrzSigON1FBKULh/B1IUUG/sp3IEUpRQZBPaAqsclFBSLCkOqN+UUEA2lM4hoFRQRQdrsQFmFFBRqdIhg6rUUHdwK6ScctRQVJ1j4wp/FFBdn9SERYtUkFPiyVO1U5SQV7HNNgcN1JB2Ob5FtcAUkHEwt38w95RQTwm5jgi9VFBJW/Fgpj2UUEZW39RqAlSQXRwsVOoCVJBRJikDv2IUkElsi9NB4hSQfFvAdthh1JBhH8xIFiUUkGftcNQKaZSQbpWeVYMp1JB7To2ppCxUkFOP7xciq5SQe9sGTgGq1JBueMRkUDIUkH8u30k/dtSQQWYJib921JB184xQvwMU0FhHnoyMQZTQTy3XGERNlNBfiTL3gZOU0Gy55ctF0xTQY0pIT4mplNBHV9Zb0/nU0FbLVPInuxTQVqB/SIr6FNBgHufrNDfU0HgKD2Bft5TQVoGEq+x2lNBIk53gG3MU0GN5EkLq7tTQV0qAgMluFNB+86H1F6/U0FEbKP/RMVTQQxxhbZr0lNBr+SnpQS+U0GuqXiThbFTQXe5tj5foVNBAWFECeZ7U0HCguasVXRTQZLw3CIkXFNB7nejYAFFU0FVECXZsidTQf8rTKiZE1NBQ+43CEvvUkHPKGyo1M1SQaInuwxqvVJBF8Py8yDHUkFVNwn2Eq5SQXyQU55Vt1JBQWBp4NHfUkH494eNzgBTQdK3b94uG1NB+IXW/ec9U0FvavL/0VVTQU5chuRWbFNBbCTx1cOCU0GgY6SSKo9TQdtE4pszm1NBmuGAntWeU0F7P+Wr07lTQSdXsWwQ2lNB7IsfCb/mU0HJ5/ol+ulTQe8nhpgL+lNBCGoC7mISVEEuWJMlMypUQQWAcpuUKFRB2qfnNtkjVEGxJYF1wzBUQYO9z0rGPFRBQxH+OZU0VEFKK2Tvqi5UQfyOjVzJNVRBOLK5ZfJDVEFzNwl6KUxUQcnzbCzXTVRBreIP0CVTVEHJ35TX6U9UQZtb0VkUV1RB4nm4w0pfVEH4gJXgoWFUQUaHPzYKZlRBeOJ+YWlrVEE6dIphHG9UQRhzCLMkc1RBIWWk0rR7VEF4l9SZH35UQaxl1cKZhlRB6RMvNzyJVEFjWDqe5Y1UQT7GIzTvj1RBCg9RMJCTVEH6piSR5plUQewlHBgRplRB7CUcGBGmVEGhRbnqE6RUQSePewOBpFRBiArYpTqhVEHi39LZtptUQdPxQDvTmFRB6KNW3SSXVEEwtlgXuJBUQZGV0Rnjj1RBWtjzq6OVVEFnckUhD5ZUQThpXGXtmVRBlI9NFNeZVEGYzEkASYxUQef3Mk3ZWFRBHCEjLXgSVEHQEXYV6QtUQSVmz/yuAFRBJyLDErH/U0G40kFRlfNTQeghkr4b51NBjMUvgt3bU0EZf3GoHdBTQY0pIT4mplNBQXhos3ChU0H8Zwx/B6pTQeAf3X5yo1NBDVdhsDWVU0HJ66CvNZVTQQ3DouLFh1NBp/ukEWCBU0HoR3U9SZdTQZlUwwwfklNB6ElNhFOZU0FUT/gf0pJTQS1uYe31mlNBCLx1OHenU0HYchWI36tTQVwLVBzKolNBWvzpDgWeU0HKuEoH0YxTQSJAZ5/VjFNB9O7sEd2ZU0FmvHbcd6lTQarV9vrpp1NBcUjc8z+5U0E06ijI9ctTQRzViHsVuVNBlSoSRrWqU0HqwhtYrpZTQeo5Ut3ghFNBqLPzXd+SU0EIj6wAHZhTQdHLJ4gdhFNBGz1Ve+NqU0G/yt4XfmZTQXF8CiYUg1NBchuv5VZ6U0FCCdAYBGpTQbixDKbeWlNBeJSg6TpmU0HkroqwoXRTQXL5k5/boVNBv71M+cu7U0ENL1tX7bxTQXzpfnstmFNBaJBgwOaZU0FA4ZnpwqRTQRNRRwdgt1NBdXWF5rvGU0HnXNkQUO9TQZzr/MYC/VNBN9Pfuf0OVEEu1joYJwpUQe7xvo5vGlRBjTNR3rgcVEGjqzgFoTJUQcDWtlHJMlRBAJgEJGQ3VEF3FT7AWCpUQchnfWKHLlRBx1mZ+ZopVEGJHkjkSBNUQWOBrsOEBFRBi1DgRzPXU0HlQ4r7cLJTQRWu5g+LlVNBFg9I6DR9U0HMxUtvnGhTQYk8MG9CFlNB8njxFHfsUkGoaYwJ39ZSQfrFKiXs3lJBof2A/7kJU0G7sFKtBPFSQduOacGCtlJBryDP1HmEUkFhFD1BpFlSQVXO4P98WVJBNpQ5UeB7UkEy7EG+/nRSQU4Lbd6CnFJBK6C5XOvgUkEAzwOZ0edSQWPChtsIEVNB7n/7Wr4nU0EPRf1YgUJTQQDnQtnAcFNBcdiZuBqIU0GIfQdMH51TQaVhcjKJr1NBQxNgaxrBU0GDIQoo1cRTQSrPl+cetFNBnwMvuaunU0FAJGQLTqNTQU2S9ZlMiFNBbrZuaqZ2U0HqtuzVx2RTQZxsqODiRFNBr3BIZVIiU0H1V2ZpnBNTQQZJ9ylt/VJBQYyXy6cAU0GL7PtzAQlTQZaiBNoHBlNBpJIvUWDwUkFrAFWr4t5SQQbcEHk84VJBS4nXSj/rUkFba8gMkulSQd/RnQJ84lJB3cIjXkzLUkFsbZge4bpSQVg8kQjjvlJBEQd+sNWmUkFirkblw4ZSQXpRHeV4iFJBsDrYKayqUkEtL7e+DZ9SQXJMiLGDhVJBiOQUEWlkUkFzDi56hj1SQR3v7np0MlJBP+jZpF0eUkHAeUyinyFSQXPFCsVXLVJBXMzkOtk3UkHaPjzaDitSQW/Kd2abGFJBWaIR4eoLUkG8REb6NRxSQV7ii14iMVJBKMxgdywlUkGuEy4D8B1SQUW0QDLNLlJBoKIYaU87UkEboT22SU1SQccr3JfrY1JBaLuIzAKDUkGlvydsxn1SQaQlf8PxjVJBbzNF/FOVUkESSFuoiaFSQWVi3qzwrlJB0RxcAFfEUkGfRbkLwrlSQWxViw2nrlJBkzJ5JCOtUkGoZFVEtaBSQULolPBFlVJBxr8a6AloUkEcK5wAPU5SQRwb4lu9M1JBPIOudKghUkGoMx6qvwpSQYI1XHCmFVJBSvwhrPcTUkEGWkw96AlSQb8zIv8XDFJBE9ClH7T4UUGLDxafwK5RQfEep0i2oFFB+Tti2rKWUUF3iem1TYxRQWwrnNlEYFFBo1+I4kQ1UUFDqqm73kxRQTYjCoBoDVFBMIkKzV8bUUGif08vKw5RQYNqkeIt5FBBPt1blIvOUEE4bTIlz7BQQYgCF6RYcVBB5g/am1LmT0GmSWYzeJdPQefq1nVVmk9B2yXZIFGST0EuMr/xEKdPQecmE0R3o09BJTw5HCK4T0HSVu/nm1RPQajBmu23G09B7jjoBL+6TkHpE4CaeIxOQb7zOdo5W05BYJljRfcfTkGEC8iqIspNQVAHK+gBkE1BwVXfVk1aTUG11XQdafpMQUsAS9sww0xBDewUvt62TEG5bWnLNFtMQQQW+34J5EtB3gvcr1X2S0GFcEgpTeJLQSeOQZXzCkxBjq7CCIX1S0HnSD90zJ1LQXV+Hgk3aktB01tPwTleS0GwNiLUgplLQeqoqxTq0EtBqYbBCj/PS0FGmCWoxtJLQYG++aRhSExBl17pu7NmTEEmEzA2/cdMQQXhNqr4CU1BXt1XAo5dTUHSzhl50dJNQVphkfxZIU5BVrjuaZJQTkHSnxRrbm1OQe8Sql+XyE5BdtvpkbUXT0Fc6Kd6X2hPQfZ3WoCAkU9Bg/Bab+lpT0HYzq4WZLJPQXXn4+3uuk9B6sLdqrz1T0EU+/EP6gJQQWB8mTuU2E9B5Z6VFcrHT0H2eNokKURPQWRqoGgj9E5BgOIMTpyXTkFXv3VL2VVOQWuAb/iJSU5Bn5YTY0gPTkE6yA7AkvJNQYpdwabds01BmjOSOvGfTUF6hU7J4FVNQeCESVF//0xBGvKC71HhTEHhycLZG5NMQXNgKYeDZUxBSoSvYtZuTEHE3pCz8upMQawPCDpO8UxB/24xQa48TUE9nq0COXZNQXnDoMU/0E1BD2srIemzTUG+kLLc3m1NQXruJKr9n01BcDjgxDS7TUHAO6Vz4wlOQcg9dmdhOE5BnZVDJmZvTkFchgBbY4lOQSXb5c8EqU5B/lUEQTSsTkHx6EYx5x5PQSYDcX8Xj09Ba4yfiwXVT0GNsj0VCAxQQcZOkR77HVBB1GmBwHg9UEEao/rM8VFQQRNNXxgaR1BB7oTJLe1BUEFoobNT/kBQQUWt4OAzK1BB+t3zjEIVUEHGcZ9x7y9QQWgOjLVsJFBBb9xUc+YOUEH6wYE5eOVPQVhdGGLW3E9Bb1ybHFh4T0FAHvnTCExPQUK0fJK0GE9BFR3Ie1XhTkGEVfeGw8NOQSVC2G97lU5BMGDquI2JTkEJ6cYU0nJOQTYXVUDCSE5B1S/Z6+/pTUGJfUzl7aVNQQSyuphjck1Bsyh0S6RSTUGN0r2jb0dNQWJWrAnEHU1BdkccJBbHTEESwwY3lIBMQebs+0MRHExBtfu1okygS0HMJMQp1ldLQSFdchDsVEtBLr7kGFfeS0G4eE3XhelLQbvRPYtNOExBXmm8v6YJTEGvBXLoJF5MQWAPjjDWjExB9wEg2rPUTEF69sbh5PFMQT2/QsuTOU1B9U3v98KQTUGbZ2pIj65NQbMgeKRJYU1Bj3EMkjZdTUEiWMw9mnBNQRimOX+mxU1BvhygR87gTUEpRWcSW89NQf8iU8Nmxk1BP+IYYG6pTUFzTZ7VwGRNQVF7TO0Yqk1BDSZPDOHRTUHMOvBJIc9NQbjaWHSu701BtEYZeTUkTkFVShsrI1pOQVnnXXCIqk5BxkqPfT4HT0GyLW1LejlPQfDnqiV5009BLkeAdczET0H8ZuDL79tPQbzSQFbj/E9B4moUBUkpUEH/LM80jklQQZRud3PETFBB8JE5Go01UEGuCjt/YB5QQf9w3+mqDlBB8FD1WAT9T0GEK9ikgOZPQUOVexSLtk9BOkW4J2Z8T0GXBV+agVxPQZ1TSks2mU9BL0ycr+GjT0Eof/smIM9PQUhiwjM90k9BNUr/A7r1T0G4tCgh+iFQQdM8DtWANFBBa8kpLNgyUEFTchcbEUNQQaXOxNCiQ1BBMwQ5kYJIUEG25h2NFjtQQVub1BgrKlBB8k0Dt7IOUEEMUBowfL1PQfoqQTIAsU9B0sdo8npcT0EVL+EpER9PQTUQbbGaoU5Bn8AehpV0TkEjSWoIzl5OQQLpieB1Jk5B0F9Le6PGTUGFH1vqeY1NQTDqsC95Uk1B8ytoC8NoTUEaL+W5PGBNQeK22+rxpU1B4D3enbsZTkFagJeeyidOQTb3JoiEDE5BQ9mIUxy+TUFzPRt1S+JNQcP8S7pGe01BDlG+hheDTUE8EgskZQNNQReAfhWguExBjPgLohtKTEGO0Mz5NPFLQUXm+tt2VUtB2C6KBLtOS0GPw8uMTPRKQZb5635PAEtBZvQE88c9S0HLb1jgfy5LQZJ/kr9Q1EpBCylKO7PWSkFpbuZkxidLQQXZ64gZ/EpBcWBHbr0CS0Gc4UsdOc1KQaqghqB2g0pBiNmjVBxGSkH0KrcwEs1JQZgi5LrEx0lBTRFeFdRcSUFiEosdO91IQcavpH7a20hBuLTrJiS0SEEZNlIRijpIQVelUeXT70dBKimlCMPlR0E81GvKs7FHQV0sf2o4jEdBBmmYGgCdR0Fzzs/b68tHQVgC1+1Nl0dBWrrFWsrsR0GTDiwKOAhIQVG7/LVBAkhBFbi/3ODVR0FgTYx8KKdHQU0jmT89xUdB/idgxPT+R0Fdf/6C3DJIQZi8w0FgOkhBwVbNHkRzSEHo0DidGI5IQUwS6S+yrEhBqZlGQQ6wSEGyud8rQvxIQRbDZ9E0J0lB5lE6YVcVSUExDvwyjMxIQR8u5WOFfUhB36J6bkj7R0Eg0p7aErBHQeO6UNikhkdBbmRkTXThR0HwfH0Q+i9IQfUfSTY8VUhBJT7hTS7sSEGog7+uVDxJQQN0yZttW0lBStvVswRPSUFQLUnAJIxJQaXMXVEXp0lBeu2fM1b1SUF/Bhj46/lJQWEhYsphUkpB+t5UN2OgSkHeSIsiYChLQRj7lINeUEtBHigyEAWYS0FMzmIebOFLQVyREGb2/ktByD5RpsTJS0Gon+Gw2RZMQbz/wzVcK0xBL2R6ykfxS0GMbygH2+lLQXW+HfJlDkxB8Wa+16kPTEEdHlVyRtVLQdeR0F/n7EtB1025/7PiS0HzyCVlsMhLQfoPNw8SmktBppflRQZaS0G+I4UbpD5LQYxUFGAr6EpBbKRQcH3pSkG135qcOgtLQVoc9tMD/0pB12+LeqlAS0G2T8SKB0BLQbZhN8zX3kpBsXzm+hs4SkFfVnNLePNJQX4DU4xYpklBzdyDH0w1SUFGnjBiW91IQVwKgeaES0hBR/0m6pN3R0EqC+iD6ONGQcEaKtias0ZBfLIwFF04RkGRTbzFZCFGQTHGV6WN2EVBy3LeFq4eRUE/TpEb8dlEQfyJce67Z0RBRnm50s4FREGYwBJ945hDQQUpHe+LeUNB2CZ+IJ8AQ0EJvEyLinpCQYW2etzROkJBkgJI4H7WQUE+JA5i36BBQcE6ekj8R0FBnN7sDZb2QEErsJScTaVAQYjEkMgRSkBBf+be5+PQP0GCgV/z+A4/QbArxMrjiT1BToO2GHQSPEHn6F5iK0s7QT3VALw9czpB0Uo7rYSiOUHAOks4AoM4QWWRTwEUMzhB8KdMqTulN0F6+6NtgGk2QbvN2dGzsjVBDkXlJsF3NEFCpcTEpx80QWox8GxgyTNBQnkkdU6KM0HbPXCwghYzQVWaNwz5/DJBNMc7m3BRMkHiyVN+YQ4yQVGGqK/+sjFBgywKObX6MEGp9uGzZagwQTEM3KgXczBB2y195zqgL0Efo0T23bAtQcevr9NmQStBDjT3i0wNKkHoo302kUkoQa1/4QyU9iZBmljOIpO4JkFxFwFcd5UkQdojUxgrxSJBHlSaXig8IEHH/gXFO0sdQQVvbddLWx1B+dtOWrouHUGD5qa1u6cfQSPqmkSkzCBBlsxQWxlkIUEMUucL1W4hQc3KEEG5xyBBEcdTetvQIEE0ruIkDLsfQei3ro/01iBBFcgQBX/9IUGX1H7aM/MjQSfdtauGqSRBHeZYn7QMJUFg/pZEPQslQQnnO97SFCVB+LgaFdLfIkGCkDGjwnIgQYO+4RehsRxBDKlLHNqJHEEUkAkSRQkeQe49vTedrR1BwJhJ1oUJIEHVSV9WIzkeQevHhmkAQh1BmMgZDuw/GkEEqbVj7hoZQW8pi2T9qRRBtcNhyTW5DkFYFVE41z//QNTnCZXwL/tAZhazccPu3ECcotb1kbvowO6PEHjr+fTAL0ocSJzs/cCtAHRR8tkMwf/EhCBe9hPBIVZJE+u2GsH5bll30uMgwc9H+uMNZSPBCqZMqfZsJMF//Q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       "  var render_items = [{\"docid\":\"3a9b4d2e-929c-415b-ae3a-78624929553b\",\"roots\":{\"p1005\":\"d91c6697-5c76-42d5-b3c6-7fa3905484a2\"},\"root_ids\":[\"p1005\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
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       "      return root.Bokeh.versions.get(py_version);\n",
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       "      return root.Bokeh\n",
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       "    return null\n",
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       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
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       "        clearInterval(timer);\n",
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       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":Layout\n",
       "   .Ocean.I   :Feature   [Longitude,Latitude]\n",
       "   .Land.I    :Feature   [Longitude,Latitude]\n",
       "   .Overlay.I :Overlay\n",
       "      .Ocean.I     :Feature   [Longitude,Latitude]\n",
       "      .Land.I      :Feature   [Longitude,Latitude]\n",
       "      .Coastline.I :Feature   [Longitude,Latitude]\n",
       "      .Borders.I   :Feature   [Longitude,Latitude]"
      ]
     },
     "execution_count": 2,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1005"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).opts(\n",
    "    \"Feature\", projection=crs.Geostationary(), global_extent=True, height=325\n",
    ").cols(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Als Beispieldaten verwenden wir [geoviews-sample-data.zip](http://assets.holoviews.org/geoviews-sample-data.zip) und entpacken es als `data`-Verzeichnis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100 6246k  100 6246k    0     0  5679k      0  0:00:01  0:00:01 --:--:-- 5694k\n",
      "Archive:  geoviews-sample-data.zip\n",
      "  inflating: ensemble.nc             \n",
      "  inflating: ensembles.nc            \n",
      "  inflating: pre-industrial.nc       \n"
     ]
    }
   ],
   "source": [
    "!curl http://assets.holoviews.org/geoviews-sample-data.zip --output geoviews-sample-data.zip\n",
    "!unzip geoviews-sample-data.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = gv.Dataset(xr.open_dataset(\"./ensemble.nc\"))\n",
    "ensemble = dataset.to(\n",
    "    gv.Image, [\"longitude\", \"latitude\"], \"surface_temperature\"\n",
    ")\n",
    "\n",
    "gv.output(\n",
    "    ensemble.opts(\n",
    "        cmap=\"viridis\", colorbar=True, fig_size=200, backend=\"matplotlib\"\n",
    "    )\n",
    "    * gf.coastline(),\n",
    "    backend=\"matplotlib\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GeoPandas-Beispiel\n",
    "\n",
    "GeoViews unterstützt auch nativ [GeoPandas](../../../matplotlib/geopandas/index.rst)-Datenstrukturen, so dass wir shapefiles und Choropleth einfach darstellen können:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_88986/2104909695.py:5: FutureWarning: The geopandas.dataset module is deprecated and will be removed in GeoPandas 1.0. You can get the original 'naturalearth_lowres' data from https://www.naturalearthdata.com/downloads/110m-cultural-vectors/.\n",
      "  gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\")),\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
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      ],
      "text/plain": [
       ":Polygons   [Longitude,Latitude]   (pop_est,name)"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p2754"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "\n",
    "gv.Polygons(\n",
    "    gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\")),\n",
    "    vdims=[\"pop_est\", (\"name\", \"Country\")],\n",
    ").opts(tools=[\"hover\"], width=600, projection=crs.Robinson())"
   ]
  }
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